1.5 Consistency Models (Strong, Eventual, Causal)

• Purpose: Explore different consistency models used in distributed systems.
• Chapters:
  1. Introduction to Consistency
     • What is consistency in distributed systems?
     • Why consistency is challenging in distributed environments.
  2. Strong Consistency
     • Definition and examples (e.g., RDBMS with ACID properties).
     • Trade-offs and use cases.
  3. Eventual Consistency
     • Definition and examples (e.g., DynamoDB, Cassandra).
     • How eventual consistency works (e.g., anti-entropy, read-repair).
  4. Causal Consistency
     • Definition and examples (e.g., Git versioning).
     • Use cases where causal consistency is essential.
  5. Hands-On Exercises
     • Simulate strong, eventual, and causal consistency in a distributed environment.
     • Implement a simple key-value store with eventual consistency.